Knowledge Discovery and Data Analysis
KDDA’2015

Nov 15, 2015 – Nov 17, 2015
ESI, Algiers (Algeria)

KDDA’2015 is an annual leading International Conference on Knowledge Discovery and Data Analysis. The purpose of the conference is to bring together researchers and actors from academia, industry, and government to advance the science, engineering, and technology in Data science in general.
The 1st KDDA’2015 will be held in Algiers, Algeria. This conference will be organized by Ecole nationale Supérieure d'Informatique of Oued-Smar (ESI, http://www.esi.dz). The conference will include four invited talks and regular papers.

Information to authors

Authors are welcome to submit original contributions on all aspects of Knowledge Discovery and Data Analysis, ranging from theoretical foundations to novel models and algorithms for data mining problems in science, business, medicine, and engineering. Papers on new and emerging topics are also welcome, as are application-oriented papers that make innovative technical contributions to research. As a rule, all the contributions will be peer-reviewed by three members of the Program Committee. All the accepted contributions will be published in the proceedings book of the conference. Authors are invited to electronically submit original research contributions or experience reports in English. The submitted manuscript should closely reflect the final paper as it will appear in the proceedings.

Formatting instructions

Your paper should not exceed 12 pages including all text, figures, tables, and references, and be formatted to Lecture Notes of Computer Science (LNCS) Series by Springer-Verlag (see Information for LNCS Authors)(http://www.springer.de/comp/lncs/authors.html). Only papers in PDF format will be accepted. Any submission that exceeds length limits or deviates from formatting requirements may be rejected without review. Only papers using the LaTeX typesetting system will be accepted. All submitted papers will be judged through triple-blind reviewing, where the identities of the authors are withheld from the reviewers. As an author, you are required to make a good-faith effort to preserve the anonymity of your submission, while at the same time allowing the reader to fully grasp the context of related past work, including your own. Common sense and careful writing will go a long way towards preserving anonymity. Please take the following steps when preparing your submission:

Remove the names and affiliations of authors from the title page.

Remove acknowledgment of identifying names and funding sources.

Use care in naming your files. Source file names (e.g., "Alice-n-Bob.dvi") are often embedded in the final output as readily accessible comments.

Use care in referring to related work, particularly your own. Do not omit references to provide anonymity, as this leaves the reviewer unable to grasp the context. Instead, reference your past work in the third person, just as you would any other piece of related work by another author.

Paper submission

We invite submission of high-quality papers reporting original research on all aspects of Knowledge Discovery and Data Analysis. We especially encourage submissions that promote the advancement of KDDA as a scientific and engineering discipline and submissions that bridge between different disciplines. All submitted papers will be judged based on their technical soundness, potential impact, rigor, significance, originality, repeatability, relevance, and clarity. Papers submitted to KDDA’2015 should be original work, not previously published in a peer reviewed conference or journal. Substantially similar versions of the paper submitted to KDDA’2015 should not be under review in another peer-reviewed conference or journal during the KDDA’2015 reviewing period. Duplicate submissions are not allowed. Authors are expected to agree to the terms presented below.

Electronic submission

The papers, in PDF format, must be submitted only electronically before the submission deadline (See Important dates). The submission site will be open from July 15, 2015. All abstracts, submissions and reviews are handled by the Easy Chair conference system (https://easychair.org/conferences/?conf=kdda2015). The accepted papers from this conference will be submitted for possible publication in several indexed special issues of prestigious international journals. Distinguished papers, after further revisions, will be submitted for inclusion into a Special Issue of J.UCS journal (http://www.jucs.org/). The aim of this special issue is to select and publish papers that provide new advances and address new problems and challenges in Knowledge Discovery and Data Analysis.